TModule 1: Data Collection
Understanding Data Sources: Learn to identify and access various data sources, such as
surveys, databases, and online resources.
Importing Data: Discover how to import data into Excel from different formats, including CSV,
Excel files, and web sources.
Data Organization: Understand best practices for organizing and structuring collected data
for easier analysis.
Module 2: Data Cleaning
Identifying Errors: Learn how to spot common data quality issues, such as duplicates, missing
values, and formatting inconsistencies.
Data Correction Techniques: Explore methods to clean and correct data, including removing
duplicates, filling in missing values, and standardizing formats.
Using Excel Tools: Gain hands-on experience with Excel functions and tools like Find &
Replace, Data Validation, and Conditional Formatting to streamline the cleaning process.
Module 3: Data Visualization
Choosing Visualization Types: Understand how to select the right type of chart or graph
based on the data being presented.
Creating Charts in Excel: Learn how to create various visualizations, such as bar charts, line
graphs, and pie charts, to effectively communicate data insights.
Building Dashboards: Discover how to compile visualizations into a cohesive dashboard,
using interactivity and design principles to enhance user experience.